Monthly Stock Selection Factors from Institutional and Retail Fund Flows

Summary

This article develops two monthly equity factors from Chinese market flow data. The first, called institutional-versus-retail harvesting, adds the cross-sectional ranks of large-order net buying and small-order net buying. The author interprets the factor as favoring stocks with institutional net purchases and retail net sales in the prior month. The second combines ranks for DDE net flow, large-order net volume, and flow-in rate; its reported pattern is contrarian, favoring stocks with weak readings in the prior month in anticipation of later inflows.

The post says both factors show separation across five groups and directional cumulative information-coefficient patterns. It reports information ratios of 0.35 and 0.546, respectively, and describes their predictive stability as weak. It then presents monthly strategy backtests on the SSE 50, but the supplied text gives no numerical return, drawdown, or benchmark comparison. The factor tests omit fees, limit moves, and trading suspensions, and the author warns that flow data is noisy. These results are therefore exploratory and do not establish robust out-of-sample performance.

Key ideas

• The institutional-versus-retail factor combines ranked net flows from large and small orders.
• The article interprets buying by institutions alongside selling by smaller orders as a positive signal for the following month.
• The flow reversal factor combines three ranked flow measures and is used contrarily.
• The reported information ratios are low, and the author describes predictive stability as limited.
• Factor tests exclude transaction costs, price limits, and trading suspensions, while no detailed backtest returns are provided.

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.